Used Tools & Technologies
BIRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Marketing @ 3
Python @ 5
SQL @ 3
A/B Testing @ 6
Looker @ 2
R @ 5
Tableau @ 2
dbt @ 2
Airflow @ 2
Data Science @ 6
Data Engineering @ 3
Experimentation @ 6
Reporting @ 3
SEM @ 3
E-commerce @ 6
LLM @ 1
AI @ 1
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Airbnb was born in 2007 in San Francisco and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals worldwide. The Global Markets & Policy Advanced Analytics team is building the data infrastructure, measurement systems, and self-service tools that will power Airbnb's international growth. This is a greenfield opportunity to shape how global teams make nimbler decisions and move from HQ-dependent reporting cycles to fast, local, data-driven action.
Responsibilities
- Partner directly with Global Markets regional teams, Finance, and Supply to surface local insights, build scalable tooling, and drive measurable impact on core business metrics.
- Design and build self-service analytics tools and dashboards enabling country teams to monitor performance, deploy local marketing levers, and act without relying on centralized analytics cycles.
- Translate local business questions into structured analytical frameworks and actionable insights in partnership with country GMs and regional leads.
- Develop and maintain measurement infrastructure for local marketing programs, including campaign performance tracking, incrementality testing, and contribution to marketing mix models (MMM).
- Identify and size new growth opportunities across international markets using internal behavioral data, supply/demand signals, and external market data.
- Collaborate with Product, Engineering, Marketing, Research, and Data Engineering to scope and deliver data and tooling needs into roadmaps.
- Contribute analytical foundations for building local growth levers (incentives, promotions, merchandising, affiliate programs) for targeting, measurement, and iteration.
Requirements
- 7+ years of experience in data science, analytics, or business intelligence, ideally within a marketplace, e-commerce, or global consumer technology environment.
- Expert-level SQL skills.
- Proficiency in Python or R for data manipulation, modeling, and analysis.
- Industry experience applying AI technologies for business growth and workflow acceleration; familiarity with AI/LLM-driven discovery/search trends is a plus.
- Strong experimentation background: fluent in A/B testing, causal inference methods, and incrementality measurement; able to design and interpret experiments independently.
- Demonstrated experience building self-service data products and tools (dashboards, automated pipelines, decision-support applications) used by non-technical stakeholders.
- Experience working in or supporting international / multi-market business contexts and comfort with cross-cultural data nuances.
- Exceptional ability to translate complex analytical findings into clear narratives for senior business audiences.
- Proven track record of operating autonomously in fast-moving, ambiguous environments and delivering high-quality work across multiple priorities.
- Collaborative, low-ego working style; success measured by decisions your work influences.
- Familiarity with modern data stack tooling (e.g., dbt, Airflow, Tableau, Looker) and experience working closely with Data Engineering to productionize analytical work.
Preferred Experience
- Supply/demand modeling or geo-based analytics in a marketplace setting.
- Exposure to growth marketing analytics (SEM, paid social, performance channels).
- Familiarity with marketing analytics and measurement methodologies, including marketing mix modeling (MMM) and attribution.
Location
- US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites. Candidates must live in a state where Airbnb, Inc. has a registered entity (see Airbnb careers page for excluded states).
Inclusion & Accessibility
Airbnb is committed to inclusion and encourages diverse applicants. Candidates with disabilities who require reasonable accommodation during application or interview can contact [email protected] with their name, role, and accommodation needed.
Compensation & Other Info
- Base pay range: $180,000—$221,000 USD. The role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
- Offices: United States